Chen Delphine L, Kinahan Paul E
Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA. Division of Radiological Sciences and Nuclear Medicine, Mallinckrodt Institute of Radiology, Campus Box 8225, 510 S. Kingshighway Blvd, St. Louis, MO 63110, USA.
Department of Radiology and Bioengineering and Physics, University of Washington Medical Center, Seattle, WA, USA.
Clin Transl Imaging. 2014 Oct;2(5):391-401. doi: 10.1007/s40336-014-0084-9. Epub 2014 Oct 16.
Lung diseases cause significant morbidity and mortality and lead to high healthcare utilization. However, few lung disease-specific biomarkers are available to accurately monitor disease activity for the purposes of clinical management or drug development. Advances in cross-modal imaging technologies, such as combined positron emission tomography (PET) and magnetic resonance (MR) imaging scanners and PET or single-photon emission computed tomography (SPECT) combined with computed tomography (CT), may aid in the development of noninvasive, molecular-based biomarkers for lung disease. However, the lungs pose particular challenges in obtaining accurate quantification of imaging data due to the low density of the organ and breathing motion. This review covers the basic physics underlying PET, SPECT, CT, and MR lung imaging and presents technical considerations for multimodal imaging with regard to PET and SPECT quantification. It also includes a brief review of the current and potential clinical applications for these hybrid imaging technologies.
肺部疾病会导致严重的发病和死亡,并导致大量的医疗资源使用。然而,目前几乎没有针对肺部疾病的特异性生物标志物可用于准确监测疾病活动,以进行临床管理或药物研发。跨模态成像技术的进步,如正电子发射断层扫描(PET)与磁共振(MR)成像扫描仪联用,以及PET或单光子发射计算机断层扫描(SPECT)与计算机断层扫描(CT)联用,可能有助于开发基于分子的非侵入性肺部疾病生物标志物。然而,由于肺部器官密度低和呼吸运动,在获得准确的成像数据定量方面,肺部存在特殊挑战。本综述涵盖了PET、SPECT、CT和MR肺部成像的基本物理学原理,并介绍了在PET和SPECT定量方面多模态成像的技术考量。它还简要回顾了这些混合成像技术的当前和潜在临床应用。